Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome.

ABSTRACT: Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance and nature of differences between two networks is an open problem, and such analysis has not been extensively applied to nanoscale connectomes. Here, we investigate this problem via a case study on the bilateral symmetry of a larval Drosophila brain connectome. We translate notions of 'bilateral symmetry' to generative models of the network structure of the left and right hemispheres, allowing us to test and refine our understanding of symmetry. We find significant differences in connection probabilities both across the entire left and right networks and between specific cell types. By resca

SUBMITTER: Pedigo BD 

PROVIDER: S-EPMC10115445 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature